Jennifer Sheng

627 total citations
27 papers, 349 citations indexed

About

Jennifer Sheng is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Jennifer Sheng has authored 27 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 8 papers in Hematology and 8 papers in Immunology. Recurrent topics in Jennifer Sheng's work include Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Jennifer Sheng is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), CAR-T cell therapy research (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Jennifer Sheng collaborates with scholars based in United States, Switzerland and Germany. Jennifer Sheng's co-authors include Kinjal Sanghavi, Akintunde Bello, Manish Gupta, Zheng‐Rong Lu, Shivani Srivastava, Brian J. Schmidt, Amit Roy, Jason Zhang, Hefei Zhang and Binfeng Xia and has published in prestigious journals such as Blood, Annals of Oncology and Clinical Pharmacology & Therapeutics.

In The Last Decade

Jennifer Sheng

24 papers receiving 343 citations

Peers

Jennifer Sheng
Comparison fields: 5 of 58
  • Oncology 232
  • Immunology 86
  • Molecular Biology 52
  • Pulmonary and Respiratory Medicine 48
  • Radiology, Nuclear Medicine and Imaging 38
Replace Kosalaram Goteti with:
Kosalaram Goteti United States
Giulia Fornasier Italy
Helen Tomkinson United Kingdom
Cynthia M. Nijenhuis Netherlands
Anjaneya Chimalakonda United States
Myriam Riek Switzerland
J. H. M. Schellens Netherlands
A. D. R. Huitema Netherlands
Alain Dauphin France
James Jiao United States
Kosalaram Goteti United States View profile →
Citations per field, relative to Jennifer Sheng
Jennifer Sheng · 1×
Citations per year, relative to Jennifer Sheng
Jennifer Sheng · 1×

Countries citing papers authored by Jennifer Sheng

Since Specialization
Citations

This map shows the geographic impact of Jennifer Sheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Sheng more than expected).

Fields of papers citing papers by Jennifer Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Sheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer Sheng. The network helps show where Jennifer Sheng may publish in the future.

Co-authorship network of co-authors of Jennifer Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Sheng. A scholar is included among the top collaborators of Jennifer Sheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer Sheng. Jennifer Sheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 0
5 2
6 1
7 1
8 10
9 2
10 1
11 22
12 17
13 18
14 26
15 23
16 9
17 8
18 15
19 29
20 20

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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